IPL Deliveries Report

Dataset statistics

Number of variables	16
Number of observations	260920
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	137.9 MiB
Average record size in memory	554.0 B

Variable types

Numeric	7
Categorical	4
Text	5

Alerts

`batsman_runs` is highly overall correlated with `total_runs`	High correlation
`dismissal_kind` is highly overall correlated with `is_wicket`	High correlation
`is_wicket` is highly overall correlated with `dismissal_kind`	High correlation
`total_runs` is highly overall correlated with `batsman_runs`	High correlation
`is_wicket` is highly imbalanced (71.5%)	Imbalance
`dismissal_kind` is highly imbalanced (89.3%)	Imbalance
`over` has 13906 (5.3%) zeros	Zeros
`batsman_runs` has 103940 (39.8%) zeros	Zeros
`extra_runs` has 246795 (94.6%) zeros	Zeros
`total_runs` has 90438 (34.7%) zeros	Zeros

Reproduction

Analysis started	2025-03-13 03:14:48.173070
Analysis finished	2025-03-13 03:14:59.833601
Duration	11.66 seconds
Software version	ydata-profiling vv4.14.0
Download configuration	config.json

match_id
Real number (ℝ)

Distinct	1095
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	907066.51

Minimum	335982
Maximum	1426312
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.0 MiB

Quantile statistics

Minimum	335982
5-th percentile	336039
Q1	548334
median	980967
Q3	1254066
95-th percentile	1422135
Maximum	1426312
Range	1090330
Interquartile range (IQR)	705732

Descriptive statistics

Standard deviation	367991.28
Coefficient of variation (CV)	0.40569382
Kurtosis	-1.5257974
Mean	907066.51
Median Absolute Deviation (MAD)	331230
Skewness	-0.14529399
Sum	2.3667179 × 10¹¹
Variance	1.3541758 × 10¹¹
Monotonicity	Increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1216517	269	0.1%
392190	267	0.1%
1426268	265	0.1%
1082625	263	0.1%
729315	262	0.1%
829737	262	0.1%
598004	261	0.1%
1254077	260	0.1%
1426288	260	0.1%
1359480	260	0.1%
Other values (1085)	258291	99.0%

Value	Count	Frequency (%)
335982	225	0.1%
335983	248	0.1%
335984	219	0.1%
335985	246	0.1%
335986	240	0.1%
335987	241	0.1%
335988	205	0.1%
335989	255	0.1%
335990	248	0.1%
335991	250	0.1%

Value	Count	Frequency (%)
1426312	184	0.1%
1426311	251	0.1%
1426310	241	0.1%
1426309	208	0.1%
1426307	247	0.1%
1426306	253	0.1%
1426305	259	0.1%
1426303	235	0.1%
1426302	253	0.1%
1426300	247	0.1%

inning
Real number (ℝ)

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.4835314

Minimum	1
Maximum	6
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.0 MiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	2
95-th percentile	2
Maximum	6
Range	5
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.5026432
Coefficient of variation (CV)	0.33881535
Kurtosis	-1.6485018
Mean	1.4835314
Median Absolute Deviation (MAD)	0
Skewness	0.12647854
Sum	387083
Variance	0.25265019
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
1	135018	51.7%
2	125741	48.2%
3	77	< 0.1%
4	72	< 0.1%
5	8	< 0.1%
6	4	< 0.1%

Value	Count	Frequency (%)
1	135018	51.7%
2	125741	48.2%
3	77	< 0.1%
4	72	< 0.1%
5	8	< 0.1%
6	4	< 0.1%

Value	Count	Frequency (%)
6	4	< 0.1%
5	8	< 0.1%
4	72	< 0.1%
3	77	< 0.1%
2	125741	48.2%
1	135018	51.7%

batting_team
Categorical

Distinct	19
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	16.6 MiB

Mumbai Indians	31437
Kolkata Knight Riders	29514
Chennai Super Kings	28651
Royal Challengers Bangalore	28205
Rajasthan Royals	26242
Other values (14)	116871

Length

Max length	27
Median length	22
Mean length	17.908248
Min length	12

Characters and Unicode

Total characters	4672620
Distinct characters	38
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Kolkata Knight Riders
2nd row	Kolkata Knight Riders
3rd row	Kolkata Knight Riders
4th row	Kolkata Knight Riders
5th row	Kolkata Knight Riders

Common Values

Value	Count	Frequency (%)
Mumbai Indians	31437	12.0%
Kolkata Knight Riders	29514	11.3%
Chennai Super Kings	28651	11.0%
Royal Challengers Bangalore	28205	10.8%
Rajasthan Royals	26242	10.1%
Kings XI Punjab	22646	8.7%
Sunrisers Hyderabad	21843	8.4%
Delhi Daredevils	18786	7.2%
Delhi Capitals	10946	4.2%
Deccan Chargers	9034	3.5%
Other values (9)	33616	12.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
kings	58130	9.0%
super	34051	5.3%
mumbai	31437	4.9%
indians	31437	4.9%
royal	30023	4.7%
challengers	30023	4.7%
delhi	29732	4.6%
riders	29514	4.6%
knight	29514	4.6%
kolkata	29514	4.6%
Other values (26)	309761	48.2%

Most occurring characters

Value	Count	Frequency (%)
a	546807	11.7%
n	390207	8.4%
	382216	8.2%
e	326910	7.0%
i	321915	6.9%
s	312167	6.7%
r	258027	5.5%
l	236894	5.1%
g	163684	3.5%
h	154778	3.3%
Other values (28)	1579015	33.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3624622	77.6%
Uppercase Letter	665782	14.2%
Space Separator	382216	8.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	546807	15.1%
n	390207	10.8%
e	326910	9.0%
i	321915	8.9%
s	312167	8.6%
r	258027	7.1%
l	236894	6.5%
g	163684	4.5%
h	154778	4.3%
u	148891	4.1%
Other values (12)	764342	21.1%

Uppercase Letter

Value	Count	Frequency (%)
K	120322	18.1%
R	115501	17.3%
C	78654	11.8%
S	59374	8.9%
D	57552	8.6%
I	54083	8.1%
P	38402	5.8%
M	31437	4.7%
B	30023	4.5%
X	22646	3.4%
Other values (5)	57788	8.7%

Space Separator

Value	Count	Frequency (%)
	382216	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4290404	91.8%
Common	382216	8.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	546807	12.7%
n	390207	9.1%
e	326910	7.6%
i	321915	7.5%
s	312167	7.3%
r	258027	6.0%
l	236894	5.5%
g	163684	3.8%
h	154778	3.6%
u	148891	3.5%
Other values (27)	1430124	33.3%

Common

Value	Count	Frequency (%)
	382216	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4672620	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	546807	11.7%
n	390207	8.4%
	382216	8.2%
e	326910	7.0%
i	321915	6.9%
s	312167	6.7%
r	258027	5.5%
l	236894	5.1%
g	163684	3.5%
h	154778	3.3%
Other values (28)	1579015	33.8%

bowling_team
Categorical

Distinct	19
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	16.7 MiB

Mumbai Indians	31505
Kolkata Knight Riders	29663
Chennai Super Kings	28576
Royal Challengers Bangalore	28358
Rajasthan Royals	26432
Other values (14)	116386

Length

Max length	27
Median length	22
Mean length	17.915254
Min length	12

Characters and Unicode

Total characters	4674448
Distinct characters	38
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Royal Challengers Bangalore
2nd row	Royal Challengers Bangalore
3rd row	Royal Challengers Bangalore
4th row	Royal Challengers Bangalore
5th row	Royal Challengers Bangalore

Common Values

Value	Count	Frequency (%)
Mumbai Indians	31505	12.1%
Kolkata Knight Riders	29663	11.4%
Chennai Super Kings	28576	11.0%
Royal Challengers Bangalore	28358	10.9%
Rajasthan Royals	26432	10.1%
Kings XI Punjab	22483	8.6%
Sunrisers Hyderabad	21717	8.3%
Delhi Daredevils	18725	7.2%
Delhi Capitals	11216	4.3%
Deccan Chargers	9039	3.5%
Other values (9)	33206	12.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
kings	57778	9.0%
super	33802	5.3%
mumbai	31505	4.9%
indians	31505	4.9%
royal	30159	4.7%
challengers	30159	4.7%
delhi	29941	4.7%
riders	29663	4.6%
knight	29663	4.6%
kolkata	29663	4.6%
Other values (26)	309266	48.1%

Most occurring characters

Value	Count	Frequency (%)
a	547793	11.7%
n	389695	8.3%
	382184	8.2%
e	327192	7.0%
i	322061	6.9%
s	312298	6.7%
r	257725	5.5%
l	238227	5.1%
g	163884	3.5%
h	155424	3.3%
Other values (28)	1577965	33.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3626677	77.6%
Uppercase Letter	665587	14.2%
Space Separator	382184	8.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	547793	15.1%
n	389695	10.7%
e	327192	9.0%
i	322061	8.9%
s	312298	8.6%
r	257725	7.1%
l	238227	6.6%
g	163884	4.5%
h	155424	4.3%
u	148057	4.1%
Other values (12)	764321	21.1%

Uppercase Letter

Value	Count	Frequency (%)
K	120332	18.1%
R	116229	17.5%
C	78990	11.9%
S	59062	8.9%
D	57705	8.7%
I	53988	8.1%
P	38202	5.7%
M	31505	4.7%
B	30159	4.5%
X	22483	3.4%
Other values (5)	56932	8.6%

Space Separator

Value	Count	Frequency (%)
	382184	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4292264	91.8%
Common	382184	8.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	547793	12.8%
n	389695	9.1%
e	327192	7.6%
i	322061	7.5%
s	312298	7.3%
r	257725	6.0%
l	238227	5.6%
g	163884	3.8%
h	155424	3.6%
u	148057	3.4%
Other values (27)	1429908	33.3%

Common

Value	Count	Frequency (%)
	382184	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4674448	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	547793	11.7%
n	389695	8.3%
	382184	8.2%
e	327192	7.0%
i	322061	6.9%
s	312298	6.7%
r	257725	5.5%
l	238227	5.1%
g	163884	3.5%
h	155424	3.3%
Other values (28)	1577965	33.8%

over
Real number (ℝ)

Zeros

Distinct	20
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	9.1976774

Minimum	0
Maximum	19
Zeros	13906
Zeros (%)	5.3%
Negative	0
Negative (%)	0.0%
Memory size	2.0 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	4
median	9
Q3	14
95-th percentile	18
Maximum	19
Range	19
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	5.6834837
Coefficient of variation (CV)	0.61792597
Kurtosis	-1.1856269
Mean	9.1976774
Median Absolute Deviation (MAD)	5
Skewness	0.041707947
Sum	2399858
Variance	32.301987
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
0	13906	5.3%
1	13773	5.3%
2	13597	5.2%
3	13575	5.2%
4	13560	5.2%
5	13494	5.2%
6	13452	5.2%
7	13430	5.1%
8	13396	5.1%
9	13354	5.1%
Other values (10)	125383	48.1%

Value	Count	Frequency (%)
0	13906	5.3%
1	13773	5.3%
2	13597	5.2%
3	13575	5.2%
4	13560	5.2%
5	13494	5.2%
6	13452	5.2%
7	13430	5.1%
8	13396	5.1%
9	13354	5.1%

Value	Count	Frequency (%)
19	9998	3.8%
18	11583	4.4%
17	12318	4.7%
16	12685	4.9%
15	12879	4.9%
14	13024	5.0%
13	13124	5.0%
12	13222	5.1%
11	13261	5.1%
10	13289	5.1%

ball
Real number (ℝ)

Distinct	11
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.6244864

Minimum	1
Maximum	11
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.0 MiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	4
Q3	5
95-th percentile	6
Maximum	11
Range	10
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	1.8149205
Coefficient of variation (CV)	0.50073865
Kurtosis	-1.053745
Mean	3.6244864
Median Absolute Deviation (MAD)	2
Skewness	0.10712572
Sum	945701
Variance	3.2939363
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
1	42210	16.2%
2	42106	16.1%
3	42002	16.1%
4	41891	16.1%
5	41752	16.0%
6	41619	16.0%
7	7776	3.0%
8	1307	0.5%
9	225	0.1%
10	30	< 0.1%

Value	Count	Frequency (%)
1	42210	16.2%
2	42106	16.1%
3	42002	16.1%
4	41891	16.1%
5	41752	16.0%
6	41619	16.0%
7	7776	3.0%
8	1307	0.5%
9	225	0.1%
10	30	< 0.1%

Value	Count	Frequency (%)
11	2	< 0.1%
10	30	< 0.1%
9	225	0.1%
8	1307	0.5%
7	7776	3.0%
6	41619	16.0%
5	41752	16.0%
4	41891	16.1%
3	42002	16.1%
2	42106	16.1%

batter
Text

Distinct	673
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	14.5 MiB

Length

Max length	23
Median length	19
Mean length	9.4247854
Min length	5

Characters and Unicode

Total characters	2459115
Distinct characters	57
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	15 ?
Unique (%)	< 0.1%

Sample

1st row	SC Ganguly
2nd row	BB McCullum
3rd row	BB McCullum
4th row	BB McCullum
5th row	BB McCullum

Value	Count	Frequency (%)
s	8992	1.7%
v	8965	1.7%
sharma	7691	1.4%
da	7020	1.3%
singh	7014	1.3%
kohli	6256	1.2%
de	6231	1.2%
r	6145	1.1%
dhawan	5671	1.1%
rg	5185	1.0%
Other values (894)	467539	87.1%

Most occurring characters

Value	Count	Frequency (%)
a	278809	11.3%
	275789	11.2%
i	119472	4.9%
h	113155	4.6%
n	112566	4.6%
r	107131	4.4%
S	100549	4.1%
e	99075	4.0%
l	95230	3.9%
s	69740	2.8%
Other values (47)	1087599	44.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1451212	59.0%
Uppercase Letter	731601	29.8%
Space Separator	275789	11.2%
Dash Punctuation	501	< 0.1%
Open Punctuation	4	< 0.1%
Decimal Number	4	< 0.1%
Close Punctuation	4	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	278809	19.2%
i	119472	8.2%
h	113155	7.8%
n	112566	7.8%
r	107131	7.4%
e	99075	6.8%
l	95230	6.6%
s	69740	4.8%
d	57396	4.0%
o	57231	3.9%
Other values (16)	341407	23.5%

Uppercase Letter

Value	Count	Frequency (%)
S	100549	13.7%
R	67019	9.2%
A	60180	8.2%
K	59494	8.1%
M	58918	8.1%
P	53997	7.4%
D	49721	6.8%
J	34928	4.8%
G	32430	4.4%
V	30549	4.2%
Other values (16)	183816	25.1%

Space Separator

Value	Count	Frequency (%)
	275789	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	501	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	4	100.0%

Decimal Number

Value	Count	Frequency (%)
2	4	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2182813	88.8%
Common	276302	11.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	278809	12.8%
i	119472	5.5%
h	113155	5.2%
n	112566	5.2%
r	107131	4.9%
S	100549	4.6%
e	99075	4.5%
l	95230	4.4%
s	69740	3.2%
R	67019	3.1%
Other values (42)	1020067	46.7%

Common

Value	Count	Frequency (%)
	275789	99.8%
-	501	0.2%
(	4	< 0.1%
2	4	< 0.1%
)	4	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2459115	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	278809	11.3%
	275789	11.2%
i	119472	4.9%
h	113155	4.6%
n	112566	4.6%
r	107131	4.4%
S	100549	4.1%
e	99075	4.0%
l	95230	3.9%
s	69740	2.8%
Other values (47)	1087599	44.2%

bowler
Text

Distinct	530
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	14.6 MiB

Length

Max length	23
Median length	18
Mean length	9.7543423
Min length	5

Characters and Unicode

Total characters	2545103
Distinct characters	55
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	< 0.1%

Sample

1st row	P Kumar
2nd row	P Kumar
3rd row	P Kumar
4th row	P Kumar
5th row	P Kumar

Value	Count	Frequency (%)
r	12556	2.4%
sharma	12256	2.3%
singh	11252	2.1%
a	10113	1.9%
kumar	9490	1.8%
m	9427	1.8%
khan	7437	1.4%
s	7205	1.4%
patel	6838	1.3%
pp	5840	1.1%
Other values (729)	438059	82.6%

Most occurring characters

Value	Count	Frequency (%)
a	327701	12.9%
	269553	10.6%
h	143316	5.6%
r	135369	5.3%
n	128319	5.0%
e	118583	4.7%
i	110331	4.3%
S	92216	3.6%
l	76231	3.0%
M	65127	2.6%
Other values (45)	1078357	42.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1585511	62.3%
Uppercase Letter	688249	27.0%
Space Separator	269553	10.6%
Dash Punctuation	1751	0.1%
Open Punctuation	13	< 0.1%
Decimal Number	13	< 0.1%
Close Punctuation	13	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	327701	20.7%
h	143316	9.0%
r	135369	8.5%
n	128319	8.1%
e	118583	7.5%
i	110331	7.0%
l	76231	4.8%
s	63765	4.0%
d	63506	4.0%
m	62428	3.9%
Other values (16)	355962	22.5%

Uppercase Letter

Value	Count	Frequency (%)
S	92216	13.4%
M	65127	9.5%
A	61221	8.9%
P	54305	7.9%
K	51694	7.5%
R	50981	7.4%
J	44795	6.5%
B	33139	4.8%
C	32925	4.8%
D	30707	4.5%
Other values (14)	171139	24.9%

Space Separator

Value	Count	Frequency (%)
	269553	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1751	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	13	100.0%

Decimal Number

Value	Count	Frequency (%)
2	13	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	13	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2273760	89.3%
Common	271343	10.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	327701	14.4%
h	143316	6.3%
r	135369	6.0%
n	128319	5.6%
e	118583	5.2%
i	110331	4.9%
S	92216	4.1%
l	76231	3.4%
M	65127	2.9%
s	63765	2.8%
Other values (40)	1012802	44.5%

Common

Value	Count	Frequency (%)
	269553	99.3%
-	1751	0.6%
(	13	< 0.1%
2	13	< 0.1%
)	13	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2545103	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	327701	12.9%
	269553	10.6%
h	143316	5.6%
r	135369	5.3%
n	128319	5.0%
e	118583	4.7%
i	110331	4.3%
S	92216	3.6%
l	76231	3.0%
M	65127	2.6%
Other values (45)	1078357	42.4%

non_striker
Text

Distinct	663
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	14.5 MiB

Length

Max length	23
Median length	19
Mean length	9.4367737
Min length	5

Characters and Unicode

Total characters	2462243
Distinct characters	57
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	10 ?
Unique (%)	< 0.1%

Sample

1st row	BB McCullum
2nd row	SC Ganguly
3rd row	SC Ganguly
4th row	SC Ganguly
5th row	SC Ganguly

Value	Count	Frequency (%)
s	9231	1.7%
v	8905	1.7%
sharma	7804	1.5%
da	6787	1.3%
singh	6717	1.3%
de	6137	1.1%
dhawan	6108	1.1%
kohli	6089	1.1%
r	6058	1.1%
mk	5308	1.0%
Other values (887)	467943	87.1%

Most occurring characters

Value	Count	Frequency (%)
a	280963	11.4%
	276167	11.2%
i	119335	4.8%
h	114211	4.6%
n	112947	4.6%
r	106873	4.3%
S	100776	4.1%
e	99512	4.0%
l	94571	3.8%
s	70157	2.8%
Other values (47)	1086731	44.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1454743	59.1%
Uppercase Letter	730835	29.7%
Space Separator	276167	11.2%
Dash Punctuation	495	< 0.1%
Open Punctuation	1	< 0.1%
Decimal Number	1	< 0.1%
Close Punctuation	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	280963	19.3%
i	119335	8.2%
h	114211	7.9%
n	112947	7.8%
r	106873	7.3%
e	99512	6.8%
l	94571	6.5%
s	70157	4.8%
d	57989	4.0%
o	55673	3.8%
Other values (16)	342512	23.5%

Uppercase Letter

Value	Count	Frequency (%)
S	100776	13.8%
R	66769	9.1%
K	59848	8.2%
A	59732	8.2%
M	59101	8.1%
P	53390	7.3%
D	48912	6.7%
J	34759	4.8%
G	32907	4.5%
V	30945	4.2%
Other values (16)	183696	25.1%

Space Separator

Value	Count	Frequency (%)
	276167	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	495	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1	100.0%

Decimal Number

Value	Count	Frequency (%)
2	1	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2185578	88.8%
Common	276665	11.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	280963	12.9%
i	119335	5.5%
h	114211	5.2%
n	112947	5.2%
r	106873	4.9%
S	100776	4.6%
e	99512	4.6%
l	94571	4.3%
s	70157	3.2%
R	66769	3.1%
Other values (42)	1019464	46.6%

Common

Value	Count	Frequency (%)
	276167	99.8%
-	495	0.2%
(	1	< 0.1%
2	1	< 0.1%
)	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2462243	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	280963	11.4%
	276167	11.2%
i	119335	4.8%
h	114211	4.6%
n	112947	4.6%
r	106873	4.3%
S	100776	4.1%
e	99512	4.0%
l	94571	3.8%
s	70157	2.8%
Other values (47)	1086731	44.1%

batsman_runs
Real number (ℝ)

High correlation Zeros

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.2650008

Minimum	0
Maximum	6
Zeros	103940
Zeros (%)	39.8%
Negative	0
Negative (%)	0.0%
Memory size	2.0 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	1
95-th percentile	6
Maximum	6
Range	6
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.6392976
Coefficient of variation (CV)	1.2958867
Kurtosis	1.5226807
Mean	1.2650008
Median Absolute Deviation (MAD)	1
Skewness	1.5642578
Sum	330064
Variance	2.6872968
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
0	103940	39.8%
1	96778	37.1%
4	29850	11.4%
2	16453	6.3%
6	13051	5.0%
3	783	0.3%
5	65	< 0.1%

Value	Count	Frequency (%)
0	103940	39.8%
1	96778	37.1%
2	16453	6.3%
3	783	0.3%
4	29850	11.4%
5	65	< 0.1%
6	13051	5.0%

Value	Count	Frequency (%)
6	13051	5.0%
5	65	< 0.1%
4	29850	11.4%
3	783	0.3%
2	16453	6.3%
1	96778	37.1%
0	103940	39.8%

extra_runs
Real number (ℝ)

Zeros

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.067806224

Minimum	0
Maximum	7
Zeros	246795
Zeros (%)	94.6%
Negative	0
Negative (%)	0.0%
Memory size	2.0 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	7
Range	7
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.34326535
Coefficient of variation (CV)	5.062446
Kurtosis	90.549735
Mean	0.067806224
Median Absolute Deviation (MAD)	0
Skewness	8.1879494
Sum	17692
Variance	0.1178311
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
0	246795	94.6%
1	12628	4.8%
2	585	0.2%
4	504	0.2%
5	325	0.1%
3	82	< 0.1%
7	1	< 0.1%

Value	Count	Frequency (%)
0	246795	94.6%
1	12628	4.8%
2	585	0.2%
3	82	< 0.1%
4	504	0.2%
5	325	0.1%
7	1	< 0.1%

Value	Count	Frequency (%)
7	1	< 0.1%
5	325	0.1%
4	504	0.2%
3	82	< 0.1%
2	585	0.2%
1	12628	4.8%
0	246795	94.6%

total_runs
Real number (ℝ)

High correlation Zeros

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.332807

Minimum	0
Maximum	7
Zeros	90438
Zeros (%)	34.7%
Negative	0
Negative (%)	0.0%
Memory size	2.0 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	1
95-th percentile	6
Maximum	7
Range	7
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.6264158
Coefficient of variation (CV)	1.2202936
Kurtosis	1.4714525
Mean	1.332807
Median Absolute Deviation (MAD)	1
Skewness	1.5363123
Sum	347756
Variance	2.6452285
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
1	108440	41.6%
0	90438	34.7%
4	30221	11.6%
2	17323	6.6%
6	12964	5.0%
3	922	0.4%
5	524	0.2%
7	88	< 0.1%

Value	Count	Frequency (%)
0	90438	34.7%
1	108440	41.6%
2	17323	6.6%
3	922	0.4%
4	30221	11.6%
5	524	0.2%
6	12964	5.0%
7	88	< 0.1%

Value	Count	Frequency (%)
7	88	< 0.1%
6	12964	5.0%
5	524	0.2%
4	30221	11.6%
3	922	0.4%
2	17323	6.6%
1	108440	41.6%
0	90438	34.7%

is_wicket
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	12.4 MiB

0	247970
1	12950

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	260920
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	247970	95.0%
1	12950	5.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	247970	95.0%
1	12950	5.0%

Most occurring characters

Value	Count	Frequency (%)
0	247970	95.0%
1	12950	5.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	260920	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	247970	95.0%
1	12950	5.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	260920	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	247970	95.0%
1	12950	5.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	260920	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	247970	95.0%
1	12950	5.0%

player_dismissed
Text

Distinct	630
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	15.1 MiB

Length

Max length	23
Median length	12
Mean length	11.87495
Min length	5

Characters and Unicode

Total characters	3098412
Distinct characters	57
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	103 ?
Unique (%)	< 0.1%

Sample

1st row	No dismissal
2nd row	No dismissal
3rd row	No dismissal
4th row	No dismissal
5th row	No dismissal

Value	Count	Frequency (%)
no	247970	47.5%
dismissal	247970	47.5%
singh	434	0.1%
sharma	409	0.1%
s	388	0.1%
r	379	0.1%
v	351	0.1%
m	277	0.1%
de	260	< 0.1%
da	246	< 0.1%
Other values (845)	23851	4.6%

Most occurring characters

Value	Count	Frequency (%)
s	747238	24.1%
i	501821	16.2%
a	262223	8.5%
	261615	8.4%
l	252391	8.1%
o	250886	8.1%
d	250828	8.1%
m	250222	8.1%
N	248717	8.0%
h	5894	0.2%
Other values (47)	66577	2.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2552660	82.4%
Uppercase Letter	284094	9.2%
Space Separator	261615	8.4%
Dash Punctuation	40	< 0.1%
Open Punctuation	1	< 0.1%
Decimal Number	1	< 0.1%
Close Punctuation	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
s	747238	29.3%
i	501821	19.7%
a	262223	10.3%
l	252391	9.9%
o	250886	9.8%
d	250828	9.8%
m	250222	9.8%
h	5894	0.2%
n	5626	0.2%
r	5512	0.2%
Other values (16)	20019	0.8%

Uppercase Letter

Value	Count	Frequency (%)
N	248717	87.5%
S	4939	1.7%
R	3242	1.1%
A	3103	1.1%
M	3006	1.1%
P	2830	1.0%
K	2819	1.0%
D	2254	0.8%
J	1815	0.6%
G	1462	0.5%
Other values (16)	9907	3.5%

Space Separator

Value	Count	Frequency (%)
	261615	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	40	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1	100.0%

Decimal Number

Value	Count	Frequency (%)
2	1	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2836754	91.6%
Common	261658	8.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
s	747238	26.3%
i	501821	17.7%
a	262223	9.2%
l	252391	8.9%
o	250886	8.8%
d	250828	8.8%
m	250222	8.8%
N	248717	8.8%
h	5894	0.2%
n	5626	0.2%
Other values (42)	60908	2.1%

Common

Value	Count	Frequency (%)
	261615	> 99.9%
-	40	< 0.1%
(	1	< 0.1%
2	1	< 0.1%
)	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3098412	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
s	747238	24.1%
i	501821	16.2%
a	262223	8.5%
	261615	8.4%
l	252391	8.1%
o	250886	8.1%
d	250828	8.1%
m	250222	8.1%
N	248717	8.0%
h	5894	0.2%
Other values (47)	66577	2.1%

dismissal_kind
Categorical

High correlation Imbalance

Distinct	11
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	15.1 MiB

No dismissal	247970
caught	8063
bowled	2212
run out	1114
lbw	800
Other values (6)	761

Length

Max length	21
Median length	12
Mean length	11.714928
Min length	3

Characters and Unicode

Total characters	3056659
Distinct characters	22
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No dismissal
2nd row	No dismissal
3rd row	No dismissal
4th row	No dismissal
5th row	No dismissal

Common Values

Value	Count	Frequency (%)
No dismissal	247970	95.0%
caught	8063	3.1%
bowled	2212	0.8%
run out	1114	0.4%
lbw	800	0.3%
caught and bowled	367	0.1%
stumped	358	0.1%
retired hurt	15	< 0.1%
hit wicket	15	< 0.1%
obstructing the field	3	< 0.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
no	247970	48.5%
dismissal	247970	48.5%
caught	8430	1.7%
bowled	2579	0.5%
out	1117	0.2%
run	1114	0.2%
lbw	800	0.2%
and	367	0.1%
stumped	358	0.1%
retired	18	< 0.1%
Other values (6)	54	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
s	744271	24.3%
i	495994	16.2%
a	256767	8.4%
o	251669	8.2%
l	251352	8.2%
d	251295	8.2%
	249857	8.2%
m	248328	8.1%
N	247970	8.1%
u	11037	0.4%
Other values (12)	48119	1.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2558832	83.7%
Space Separator	249857	8.2%
Uppercase Letter	247970	8.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
s	744271	29.1%
i	495994	19.4%
a	256767	10.0%
o	251669	9.8%
l	251352	9.8%
d	251295	9.8%
m	248328	9.7%
u	11037	0.4%
t	9977	0.4%
h	8463	0.3%
Other values (10)	29679	1.2%

Space Separator

Value	Count	Frequency (%)
	249857	100.0%

Uppercase Letter

Value	Count	Frequency (%)
N	247970	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2806802	91.8%
Common	249857	8.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
s	744271	26.5%
i	495994	17.7%
a	256767	9.1%
o	251669	9.0%
l	251352	9.0%
d	251295	9.0%
m	248328	8.8%
N	247970	8.8%
u	11037	0.4%
t	9977	0.4%
Other values (11)	38142	1.4%

Common

Value	Count	Frequency (%)
	249857	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3056659	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
s	744271	24.3%
i	495994	16.2%
a	256767	8.4%
o	251669	8.2%
l	251352	8.2%
d	251295	8.2%
	249857	8.2%
m	248328	8.1%
N	247970	8.1%
u	11037	0.4%
Other values (12)	48119	1.6%

fielder
Text

Distinct	608
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	14.7 MiB

Length

Max length	23
Median length	10
Mean length	9.9829526
Min length	5

Characters and Unicode

Total characters	2604752
Distinct characters	53
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	85 ?
Unique (%)	< 0.1%

Sample

1st row	No fielder
2nd row	No fielder
3rd row	No fielder
4th row	No fielder
5th row	No fielder

Value	Count	Frequency (%)
no	251566	48.2%
fielder	251566	48.2%
r	308	0.1%
singh	290	0.1%
sharma	281	0.1%
ms	265	0.1%
de	247	< 0.1%
m	244	< 0.1%
dhoni	220	< 0.1%
patel	217	< 0.1%
Other values (819)	17163	3.3%

Most occurring characters

Value	Count	Frequency (%)
e	506747	19.5%
	261447	10.0%
i	255979	9.8%
r	255597	9.8%
l	254717	9.8%
o	253830	9.7%
d	253724	9.7%
N	252106	9.7%
f	251630	9.7%
a	10506	0.4%
Other values (43)	48469	1.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2065808	79.3%
Uppercase Letter	277460	10.7%
Space Separator	261447	10.0%
Dash Punctuation	37	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	506747	24.5%
i	255979	12.4%
r	255597	12.4%
l	254717	12.3%
o	253830	12.3%
d	253724	12.3%
f	251630	12.2%
a	10506	0.5%
h	4485	0.2%
n	3988	0.2%
Other values (16)	14605	0.7%

Uppercase Letter

Value	Count	Frequency (%)
N	252106	90.9%
S	3489	1.3%
K	2295	0.8%
R	2272	0.8%
M	2212	0.8%
A	2170	0.8%
P	1987	0.7%
D	1779	0.6%
J	1307	0.5%
B	1071	0.4%
Other values (15)	6772	2.4%

Space Separator

Value	Count	Frequency (%)
	261447	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	37	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2343268	90.0%
Common	261484	10.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	506747	21.6%
i	255979	10.9%
r	255597	10.9%
l	254717	10.9%
o	253830	10.8%
d	253724	10.8%
N	252106	10.8%
f	251630	10.7%
a	10506	0.4%
h	4485	0.2%
Other values (41)	43947	1.9%

Common

Value	Count	Frequency (%)
	261447	> 99.9%
-	37	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2604752	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	506747	19.5%
	261447	10.0%
i	255979	9.8%
r	255597	9.8%
l	254717	9.8%
o	253830	9.7%
d	253724	9.7%
N	252106	9.7%
f	251630	9.7%
a	10506	0.4%
Other values (43)	48469	1.9%

	ball	batsman_runs	batting_team	bowling_team	dismissal_kind	extra_runs	inning	is_wicket	match_id	over	total_runs
ball	1.000	0.007	0.004	0.000	0.005	-0.001	-0.005	0.003	0.004	-0.002	0.006
batsman_runs	0.007	1.000	0.017	0.013	0.111	-0.245	-0.010	0.267	0.032	0.120	0.939
batting_team	0.004	0.017	1.000	0.133	0.006	0.005	0.033	0.010	0.329	0.000	0.016
bowling_team	0.000	0.013	0.133	1.000	0.006	0.007	0.035	0.005	0.329	0.000	0.012
dismissal_kind	0.005	0.111	0.006	0.006	1.000	0.021	0.010	1.000	0.008	0.036	0.114
extra_runs	-0.001	-0.245	0.005	0.007	0.021	1.000	-0.001	0.050	-0.002	0.017	0.090
inning	-0.005	-0.010	0.033	0.035	0.010	-0.001	1.000	0.016	0.001	-0.047	-0.010
is_wicket	0.003	0.267	0.010	0.005	1.000	0.050	0.016	1.000	0.003	0.091	0.297
match_id	0.004	0.032	0.329	0.329	0.008	-0.002	0.001	0.003	1.000	0.011	0.031
over	-0.002	0.120	0.000	0.000	0.036	0.017	-0.047	0.091	0.011	1.000	0.125
total_runs	0.006	0.939	0.016	0.012	0.114	0.090	-0.010	0.297	0.031	0.125	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

	match_id	inning	batting_team	bowling_team	over	ball	batter	bowler	non_striker	batsman_runs	extra_runs	total_runs	player_dismissed	dismissal_kind	fielder
0	335982	1	Kolkata Knight Riders	Royal Challengers Bangalore	0	1	SC Ganguly	P Kumar	BB McCullum	0	1	1	No dismissal	No dismissal	No fielder
1	335982	1	Kolkata Knight Riders	Royal Challengers Bangalore	0	2	BB McCullum	P Kumar	SC Ganguly	0	0	0	No dismissal	No dismissal	No fielder
2	335982	1	Kolkata Knight Riders	Royal Challengers Bangalore	0	3	BB McCullum	P Kumar	SC Ganguly	0	1	1	No dismissal	No dismissal	No fielder
3	335982	1	Kolkata Knight Riders	Royal Challengers Bangalore	0	4	BB McCullum	P Kumar	SC Ganguly	0	0	0	No dismissal	No dismissal	No fielder
4	335982	1	Kolkata Knight Riders	Royal Challengers Bangalore	0	5	BB McCullum	P Kumar	SC Ganguly	0	0	0	No dismissal	No dismissal	No fielder
5	335982	1	Kolkata Knight Riders	Royal Challengers Bangalore	0	6	BB McCullum	P Kumar	SC Ganguly	0	0	0	No dismissal	No dismissal	No fielder
6	335982	1	Kolkata Knight Riders	Royal Challengers Bangalore	0	7	BB McCullum	P Kumar	SC Ganguly	0	1	1	No dismissal	No dismissal	No fielder
7	335982	1	Kolkata Knight Riders	Royal Challengers Bangalore	1	1	BB McCullum	Z Khan	SC Ganguly	0	0	0	No dismissal	No dismissal	No fielder
8	335982	1	Kolkata Knight Riders	Royal Challengers Bangalore	1	2	BB McCullum	Z Khan	SC Ganguly	4	0	4	No dismissal	No dismissal	No fielder
9	335982	1	Kolkata Knight Riders	Royal Challengers Bangalore	1	3	BB McCullum	Z Khan	SC Ganguly	4	0	4	No dismissal	No dismissal	No fielder

	match_id	inning	batting_team	bowling_team	over	ball	batter	bowler	non_striker	batsman_runs	total_runs	player_dismissed	dismissal_kind	fielder
260910	1426312	2	Kolkata Knight Riders	Sunrisers Hyderabad	8	6	SS Iyer	Shahbaz Ahmed	VR Iyer	4	4	No dismissal	No dismissal	No fielder
260911	1426312	2	Kolkata Knight Riders	Sunrisers Hyderabad	9	1	VR Iyer	AK Markram	SS Iyer	2	2	No dismissal	No dismissal	No fielder
260912	1426312	2	Kolkata Knight Riders	Sunrisers Hyderabad	9	2	VR Iyer	AK Markram	SS Iyer	0	0	No dismissal	No dismissal	No fielder
260913	1426312	2	Kolkata Knight Riders	Sunrisers Hyderabad	9	3	VR Iyer	AK Markram	SS Iyer	0	0	No dismissal	No dismissal	No fielder
260914	1426312	2	Kolkata Knight Riders	Sunrisers Hyderabad	9	4	VR Iyer	AK Markram	SS Iyer	1	1	No dismissal	No dismissal	No fielder
260915	1426312	2	Kolkata Knight Riders	Sunrisers Hyderabad	9	5	SS Iyer	AK Markram	VR Iyer	1	1	No dismissal	No dismissal	No fielder
260916	1426312	2	Kolkata Knight Riders	Sunrisers Hyderabad	9	6	VR Iyer	AK Markram	SS Iyer	1	1	No dismissal	No dismissal	No fielder
260917	1426312	2	Kolkata Knight Riders	Sunrisers Hyderabad	10	1	VR Iyer	Shahbaz Ahmed	SS Iyer	1	1	No dismissal	No dismissal	No fielder
260918	1426312	2	Kolkata Knight Riders	Sunrisers Hyderabad	10	2	SS Iyer	Shahbaz Ahmed	VR Iyer	1	1	No dismissal	No dismissal	No fielder
260919	1426312	2	Kolkata Knight Riders	Sunrisers Hyderabad	10	3	VR Iyer	Shahbaz Ahmed	SS Iyer	1	1	No dismissal	No dismissal	No fielder

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Dash Punctuation

Open Punctuation

Decimal Number

Close Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Dash Punctuation

Open Punctuation

Decimal Number

Close Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Dash Punctuation

Open Punctuation

Decimal Number

Close Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common